SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIA
Dynamic changes in urbanisation of a city is best analyzed through spatio-temporal analysis of classified data. Decadal Land use data for India for years 1985, 1995 and 2005 and Copernicus Global Land service Dynamic Land Cover layers (CGLS-LC100 products) for year 2015 have been used to conduct ana...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2021-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-M-3-2021/181/2021/isprs-archives-XLIV-M-3-2021-181-2021.pdf |
| _version_ | 1818443706267598848 |
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| author | R. Verma P. K. Garg |
| author_facet | R. Verma P. K. Garg |
| author_sort | R. Verma |
| collection | DOAJ |
| description | Dynamic changes in urbanisation of a city is best analyzed through spatio-temporal analysis of classified data. Decadal Land use data for India for years 1985, 1995 and 2005 and Copernicus Global Land service Dynamic Land Cover layers (CGLS-LC100 products) for year 2015 have been used to conduct analysis for multi-temporal analysis of urban expansion and its dynamics using Landscape Metrics by FRAGSTATS and Shannon’s Entropy Values (Hn) over the 4 directional zones of Lucknow city namely North-East (NE), South-East (SE), South-West (SW) and North-West (NW). The metrics used to find characteristics of urbanisation are Landscape Shape Index (LSI), Largest Patch Index (LPI), Mean Euclidean Nearest Neighbor Distance (ENN_MN) and Aggregation Index (AI). Results showed the increase in LSI for Built-up patches over the years from 1985 to 2015, explaining the increase in complexity of shapes of Built-up patches in all zones. The increase in LPI indicates the increase of Built-up land use class over the years but also the convergence of urbanisation in the study area as indicated by lower entropy values. NW zone of Lucknow city area being poor in Vegetation is having highest ENN_MN which is decreasing over the years indicating more centrality. AI is same for Built-up patches from 1985 to 2015 which is due to either edge-filling or outlying urban growth in study area in all 3 change durations 1985-1995, 1995–2005 and 2005–2015. Among all 4 zones of Lucknow city, decrease in vegetation is major factor to urbanisation in city over the years. |
| first_indexed | 2024-12-14T19:04:18Z |
| format | Article |
| id | doaj.art-45e78096423445309360f8c7792d2871 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-14T19:04:18Z |
| publishDate | 2021-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-45e78096423445309360f8c7792d28712022-12-21T22:50:54ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342021-08-01XLIV-M-3-202118118610.5194/isprs-archives-XLIV-M-3-2021-181-2021SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIAR. Verma0P. K. Garg1Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee-247667, Uttarakhand, IndiaDepartment of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee-247667, Uttarakhand, IndiaDynamic changes in urbanisation of a city is best analyzed through spatio-temporal analysis of classified data. Decadal Land use data for India for years 1985, 1995 and 2005 and Copernicus Global Land service Dynamic Land Cover layers (CGLS-LC100 products) for year 2015 have been used to conduct analysis for multi-temporal analysis of urban expansion and its dynamics using Landscape Metrics by FRAGSTATS and Shannon’s Entropy Values (Hn) over the 4 directional zones of Lucknow city namely North-East (NE), South-East (SE), South-West (SW) and North-West (NW). The metrics used to find characteristics of urbanisation are Landscape Shape Index (LSI), Largest Patch Index (LPI), Mean Euclidean Nearest Neighbor Distance (ENN_MN) and Aggregation Index (AI). Results showed the increase in LSI for Built-up patches over the years from 1985 to 2015, explaining the increase in complexity of shapes of Built-up patches in all zones. The increase in LPI indicates the increase of Built-up land use class over the years but also the convergence of urbanisation in the study area as indicated by lower entropy values. NW zone of Lucknow city area being poor in Vegetation is having highest ENN_MN which is decreasing over the years indicating more centrality. AI is same for Built-up patches from 1985 to 2015 which is due to either edge-filling or outlying urban growth in study area in all 3 change durations 1985-1995, 1995–2005 and 2005–2015. Among all 4 zones of Lucknow city, decrease in vegetation is major factor to urbanisation in city over the years.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-M-3-2021/181/2021/isprs-archives-XLIV-M-3-2021-181-2021.pdf |
| spellingShingle | R. Verma P. K. Garg SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIA |
| title_full | SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIA |
| title_fullStr | SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIA |
| title_full_unstemmed | SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIA |
| title_short | SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIA |
| title_sort | spatio temporal land use change analysis in directional zones of lucknow city india |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-M-3-2021/181/2021/isprs-archives-XLIV-M-3-2021-181-2021.pdf |
| work_keys_str_mv | AT rverma spatiotemporallandusechangeanalysisindirectionalzonesoflucknowcityindia AT pkgarg spatiotemporallandusechangeanalysisindirectionalzonesoflucknowcityindia |